
UPC works with digital twins to make the construction industry more efficient, more reliable and safer
April 28, 2021
COREWIND: improving the performance of floating wind technology in the open sea
May 7, 2021The Database Technologies and Information Management Group (DTIM) is coordinating 'An Automatic Data Discovery Approach to Enhance Barcelona’s Data Ecosystem’, a project that will create a platform based on open data on Barcelona to support users in the process of developing intelligent applications.
The importance of data is not new, and the predicted economic value that can be extracted is very high. In this context, Barcelona is today a major centre for data science and artificial intelligence (AI) at European level. Small and medium-sized companies, large organisations, emerging companies and research groups are working on solutions for different sectors (tourism, health and mobility) based on data in a rich, constantly evolving ecosystem.
To become a data-driven society, Barcelona needs to facilitate access to and use of its data. The general aim of this project is for other people to be able to easily access, contextualise and cross the large amount of data the city offers. This will benefit suppliers and consumers of information and will enable the city’s management to improve from the perspective of data-driven public services.

The project has two main proposals, under Barcelona City Council’s control in both cases. One is the creation of a data hub in which public and private stakeholders can publish their datasets, as is the case of the Open Data BCN catalogue. The other is an innovative semi-automatic method to cross heterogeneous, intersectoral data sources.
The dataset and its hidden relations will be analysed to characterise the whole automatically. Graph Neural Networks (GNNs) will be used: an advanced AI technique that generalises the deep neural network model to exploit other aspects such as the topology of concepts and connectivity between data sources. Today this is innovative research that has still not been explored in the context of Data Discovery.
The project has received the Awards for Scientific Research into Urban Challenges in Barcelona 2020, which is given by Barcelona City Council, for contributing solutions to the challenges of COVID-19 and generally reconsidering the model of the city.
Related news item: The Scientific Research Awards recognise four UPC research projects to face the challenges of COVID-19 in Barcelona
Technology
You want to know more?
Related Projects
- A research team from the Institut de Robòtica i Informàtica Industrial (IRI, CSIC-UPC), together with the Centre de Disseny d'Equips Industrials (CDEI) of the Universitat Politècnica de Catalunya - BarcelonaTech (UPC), are participating in the national CASANDRA project to develop a digital manufacturing solution that will make it possible to establish a bidirectional data flow for continuous digital integration throughout the supply chain across the product life cycle. This integration will be achieved through digital twins and data-based models that are continuously updated thanks to distributed monitoring and control tools.
- The research groups Structural and Materials Technology (ATEM) and the Construction Engineering (EC) at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) are working on the RE-STEEL project, which aims to develop an efficient methodology for assessing the rehabilitation of existing steel structures.
- The AgroTech research group at UPC, in collaboration with its spin-off Ugiat Technologies, has developed uPlayer, a new multimedia player concept that enables more intuitive video navigation and viewing, intelligently enhancing the user experience, especially on YouTube and other platforms, by integrating as a plugin or advanced player.
- The AgroTech research group at the Universitat Politècnica de Catalunya – BarcelonaTech (UPC), together with its spin-off Ugiat Technologies, have driven DoblAI, an AI platform that integrates transcription, translation, subtitling and video dubbing into a single workflow. The solution, which uses deep learning technology and cloned or default voice models, is specifically designed for the journalism and communications sector.




